The Master of Science in Data Analytics at Rowan University is designed for individuals with a Bachelor's degree in a STEM related field who are looking to expand their knowledge and opportunities in Data Science. The program has a strong background in Data Mining, Modeling, Statistical and Machine learning, but also includes potential concentrations in Health Data Analytics or Business Data Analytics for students with those interests. If no concentration is chosen there are a variety of electives so that students can increase their knowledge of Computer Science, Statistics, or Visual Analytics. The program is based on industry needs, as well as guidelines of the Commission on Accreditation for Health Informatics and information Management Education (CAHIIM) and of the Technology Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET). Students will be prepared to use algorithms, statistics, and technology to make informed decisions from massive amounts of data, to manage streamed data or data stored in massive data warehouses, and to visually analyze and present information. Courses are designed to provide expertise in the data sciences and train students to solve problems with complex sets of structured and unstructured data commonly found in any industry.
The M.S. in Data Analytics program consists of 10 courses and a total of 30 graduate semester hours (s.h.). Students may enroll in this program part-time or full-time.
Applicants must have successfully completed the following courses (or their equivalents) at an accredited institution: Calculus II, Probability and Statistical Inference for Computing Systems, Linear Algebra, Introduction to Object-Oriented Programming or Computer Science and Programming, and Data Structures and Algorithms or Data Structures for Engineers.
The following courses make up the M.S. in Data Analytics program.
Note: The courses listed above are not official and are subject to change. For an official list of available courses please visit the Rowan Global section tally.
The following is a list of items required to begin the application process for the program. There may be additional action or materials required for admission to the program. Upon receipt of the materials below a representative from the Rowan Global Admissions Processing Office will contact you with confirmation or indicating any missing items.
Bachelor's degree (or its equivalent) from an accredited institution of higher learning
Official transcripts from all colleges attended (regardless of number of credits earned)
Current professional resume
Typewritten statement of professional objectives
Provide reasons for pursuing the program. Describe how you might use this program to advance your career (educational goals beyond the master's level, if applicable, are also relevant).
Two letters of recommendation
While the official Recommendation Form is required, an actual letter from the recommender is preferred.
Minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale)
Submission of official GRE test results is highly recommended
Start Dates & Application Deadlines
The chart below details available entry terms for the M.S. in Data Analytics program as well as corresponding application deadlines. Submitting the Application Form is only the first step to beginning the admission process. All of the required materials listed above must be received on or before the application completion deadline for your desired entry term to be considered for admission to that term. We encourage you to complete the application form and begin submitting your materials at least one month before the deadline indicated.
Tuition & Costs
Per Semester Hour
Note: This rate applies to academic year 2019/2020 and is subject to change. Additional fees may be required for select programs.